Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

neo4j-labs/agent-memory ships two SDKs with the same memory model, both backed by the NAMS hosted service. Pick the one that matches your stack — mixed Python + TypeScript agents read and write the ...

Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale. Leading firms now combine crowdsourcing, automation, and domain expertise to collect data across modalities. The ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The speakers discuss Netflix’s architecture ...

Search firm Exa wants to use the tech behind large language models to tame the wildness of the web. A startup called Exa is pitching a new spin on generative search. It uses the tech behind large ...

Neo4j is the world's leading graph database, with native graph storage and processing.. Constructing knowledge graphs from text has been a fascinating area of research for quite some time. With the ...

Generative AI depends on data to build responses to user queries. Training large language models (LLMs) uses huge volumes of data—for example, OpenAI’s GPT-3 used the CommonCrawl data set, which stood ...

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